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Comparison of comparative genomic hybridization with conventional karyotype and classical fluorescence in situ hybridization for prenatal and postnatal diagnosis of unbalanced chromosome abnormalities.

Abstract
The comparative genomic hybridization (CGH) technique was initially used for detection of chromosomal imbalances in tumor cells. CGH can also be used as a supplementary method to karyotypic analysis in clinical cytogenetic cases. In order to evaluate CGH usefulness in prenatal and postnatal analysis of whole chromosome and segmental aneusomies, we investigated 13 clinical samples from blood, cultured chorionic villi, cultured amniotic fluids and uncultured amniotic fluids. These specimens, initially analyzed by conventional cytogenetics, included 5p monosomy, 9p duplication, add 6p, unbalanced translocation between chromosomes 5 and 10, mosaic tetrasomy 12p (50%), unbalanced (X;X) translocation and Prader-Willi deletion (15q11-13). In addition, six numerical chromosome aberrations (tetrasomy X, trisomies 13, 18, 21 and monosomy X) were analysed. All the chromosomal abnormalities, except the Prader-Willi deletion, were correctly detected by CGH. Here, we have demonstrated that the CGH technique is an alternative to classical fluorescence in situ hybridization using specific probes for detection of the unbalanced chromosomal aberrations in prenatal and postnatal diagnosis and could be used for rapid prenatal screening for unbalanced aberrations.
AuthorsJ M Lapierre, V Cacheux, N Collot, F Da Silva, N Hervy, D Rivet, S Romana, J Wiss, B Benzaken, A Aurias, G Tachdjian
JournalAnnales de genetique (Ann Genet) Vol. 41 Issue 3 Pg. 133-40 ( 1998) ISSN: 0003-3995 [Print] Netherlands
PMID9833066 (Publication Type: Comparative Study, Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Amniotic Fluid
  • Chorionic Villi
  • Chromosome Aberrations (blood, diagnosis, genetics)
  • Chromosome Disorders
  • Genome, Human
  • Humans
  • In Situ Hybridization, Fluorescence
  • Karyotyping
  • Nucleic Acid Hybridization
  • Prenatal Diagnosis
  • Signal Processing, Computer-Assisted

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